Evidence map›Paper›PMID 40713042›Full record

ArticleBMJ open2025

NutriNet-Brasil, a web-based prospective study on dietary patterns and risk of chronic diseases: cohort profile.

Caroline Dos Santos Costa, Kamila Tiemann Gabe, Francine Silva Dos Santos, Maria Alvim Leite, Fernanda Paranhos Quinta, Beatriz Menezes de Albuquerque Torquato, Euridice Martinez Steele, Fernanda Rauber, Leandro F M Rezende, Maria Laura da Costa Louzada and 2 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Caroline Dos Santos CostaCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-3522-1546
Kamila Tiemann GabeCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Francine Silva Dos SantosCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Maria Alvim LeiteCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Fernanda Paranhos QuintaCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Beatriz Menezes de Albuquerque TorquatoCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Euridice Martinez SteeleCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Fernanda RauberCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Leandro F M RezendeCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Maria Laura da Costa LouzadaCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Renata B LevyCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
Carlos A MonteiroCenter for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil carlosam@usp.br.ORCID http://orcid.org/0000-0002-3777-1533

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNon-communicable diseases (NCDs), such as diabetes, cardiovascular diseases and cancer, are major global public health concerns. Diet quality-particularly the consumption of ultra-processed foods-has been associated with increased risk of NCDs. Traditional cohort studies are often expensive and logistically complex. The NutriNet-Brasil cohort leverages a web-based approach, offering a cost-effective and practical solution for comprehensive data collection and long-term follow-up.

participantsRecruitments began in January 2020 through mass media, social media campaigns and collaborations with health organisations. Eligible participants are adults (aged ≥18 years) living in Brazil with internet access. Participants complete self-administered online questionnaires covering dietary intake, health status and other health determinants. Dietary assessment is based on the Nova classification system, which categorises foods by their level of processing. FINDINGS TO DATE: Over 88 000 participants have completed the initial questionnaire. The cohort is predominantly women (79.9%) and highly educated (67.9% had completed higher education). The web-based design enabled the development and application of innovative dietary assessment tools, including the FUTURE PLANS: NutriNet-Brasil is pioneering the development of web-based cohort methodologies and instruments tailored to food processing research. Future work includes leveraging collaborations with national and international research centres to conduct multidisciplinary analyses and inform public health policies.

Indexed as

DietFeeding BehaviorInternetAdultAgedBrazilChronic DiseaseFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsSurveys and QuestionnairesYoung AdultChronic DiseaseInternetNUTRITION & DIETETICSPUBLIC HEALTHSurveys and Questionnaires

Identifiers

PMID40713042
PMCPMC12306213

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.